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- 新增代码生成模块路由支持 - 重构 MCP 服务器API,支持增删改查接口和分页查询 - 实现 MCP 智能对话的流式响应和 WebSocket 通信 - 优化 MCP 数据模型,支持环境变量等配置项 - 改进 MCP CRUD 层,集成权限控制和统一操作方法 - 优化异常处理,提升接口错误信息准确性 - 修正依赖导入和数据校验,增强代码健壮性
227 lines
6.9 KiB
Python
227 lines
6.9 KiB
Python
# -*- coding: utf-8 -*-
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from pathlib import Path
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import importlib
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from types import ModuleType
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import uuid
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from typing import Any, Generator, List, Dict, Sequence, Optional
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from sqlalchemy.orm import DeclarativeBase
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from app.config import setting
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from app.core.logger import logger
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from app.core.exceptions import CustomException
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def worship():
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print("""
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______ _ _
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| ____| | | /\ (_)
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| |__ __ _ ___| |_ / \ _ __ _
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| __/ _` / __| __| / /\ \ | '_ \| |
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| | | (_| \__ \ |_ / ____ \| |_) | |
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|_| \__,_|___/\__/_/ \_\ .__/|_|
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""")
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def import_module(module: str, desc: str) -> Any:
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"""
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动态导入模块
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:param module: 模块名称
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:param desc: 模块描述
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:return: 模块对象
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"""
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try:
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module_path, module_class = module.rsplit(".", 1)
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module = importlib.import_module(module_path)
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return getattr(module, module_class)
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except ModuleNotFoundError:
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logger.error(f"导入{desc}失败,未找到模块:{module}")
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raise ModuleNotFoundError(f"导入{desc}失败,未找到模块:{module}")
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except AttributeError:
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logger.error(f"导入{desc}失败,未找到模块方法:{module}")
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raise AttributeError(f"导入{desc}失败,未找到模块方法:{module}")
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async def import_modules_async(modules: list, desc: str, **kwargs):
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"""
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异步导入模块列表
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:param modules: 模块列表
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:param desc: 模块描述
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:param kwargs: 额外参数
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"""
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for module in modules:
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if not module:
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continue
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try:
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module_path = module[0:module.rindex(".")]
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module_name = module[module.rindex(".") + 1:]
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module_obj = importlib.import_module(module_path)
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await getattr(module_obj, module_name)(**kwargs)
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except ModuleNotFoundError:
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logger.error(f"导入{desc}失败,未找到模块:{module}")
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raise ModuleNotFoundError(f"导入{desc}失败,未找到模块:{module}")
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except AttributeError:
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logger.error(f"导入{desc}失败,未找到模块方法:{module}")
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raise AttributeError(f"导入{desc}失败,未找到模块方法:{module}")
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def get_random_character() -> str:
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"""生成随机字符串"""
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return uuid.uuid4().hex
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def get_parent_id_map(model_list: Sequence[DeclarativeBase]) -> Dict[int, int]:
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"""
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获取父级ID映射字典
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:param model_list: 模型列表
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:return: {id: parent_id} 映射字典
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"""
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return {item.id: item.parent_id for item in model_list}
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def get_parent_recursion(
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id: int,
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id_map: Dict[int, int],
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ids: Optional[List[int]] = None
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) -> List[int]:
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"""
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递归获取所有父级ID
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:param id: 当前ID
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:param id_map: ID映射字典
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:param ids: 已收集的ID列表
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:return: 所有父级ID列表
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"""
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ids = ids or []
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if id in ids:
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raise CustomException(msg="递归获取父级ID失败,不可以自引用")
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ids.append(id)
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parent_id = id_map.get(id)
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if parent_id:
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get_parent_recursion(parent_id, id_map, ids)
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return ids
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def get_child_id_map(model_list: Sequence[DeclarativeBase]) -> Dict[int, List[int]]:
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"""
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获取子级ID映射字典
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:param model_list: 模型列表
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:return: {id: [child_ids]} 映射字典
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"""
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data_map = {}
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for model in model_list:
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data_map.setdefault(model.id, [])
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if model.parent_id:
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data_map.setdefault(model.parent_id, []).append(model.id)
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return data_map
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def get_child_recursion(
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id: int,
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id_map: Dict[int, List[int]],
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ids: Optional[List[int]] = None
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) -> List[int]:
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"""
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递归获取所有子级ID
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:param id: 当前ID
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:param id_map: ID映射字典
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:param ids: 已收集的ID列表
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:return: 所有子级ID列表
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"""
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ids = ids or []
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ids.append(id)
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for child in id_map.get(id, []):
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get_child_recursion(child, id_map, ids)
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return ids
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def traversal_to_tree(nodes: list[dict[str, Any]]) -> list[dict[str, Any]]:
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"""
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通过遍历算法构造树形结构
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:param nodes: 树节点列表
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:return:
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"""
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tree: list[dict[str, Any]] = []
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node_dict = {node['id']: node for node in nodes}
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for node in nodes:
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# 确保每个节点都有children字段,即使没有子节点也设置为null
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if 'children' not in node:
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node['children'] = None
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parent_id = node['parent_id']
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if parent_id is None:
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tree.append(node)
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else:
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parent_node = node_dict.get(parent_id)
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if parent_node is not None:
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if 'children' not in parent_node or parent_node['children'] is None:
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parent_node['children'] = []
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if node not in parent_node['children']:
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parent_node['children'].append(node)
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else:
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if node not in tree:
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tree.append(node)
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# 确保所有节点都有children字段
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for node in tree:
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if 'children' not in node:
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node['children'] = None
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return tree
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def recursive_to_tree(nodes: list[dict[str, Any]], *, parent_id: int | None = None) -> list[dict[str, Any]]:
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"""
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通过递归算法构造树形结构(性能影响较大)
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:param nodes: 树节点列表
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:param parent_id: 父节点 ID,默认为 None 表示根节点
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:return:
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"""
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tree: list[dict[str, Any]] = []
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for node in nodes:
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if node['parent_id'] == parent_id:
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child_nodes = recursive_to_tree(nodes, parent_id=node['id'])
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if child_nodes:
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node['children'] = child_nodes
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tree.append(node)
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return tree
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def bytes2human(n: int, format_str: str = '%(value).1f%(symbol)s') -> str:
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"""
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字节数转人类可读格式
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:param n: 字节数
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:param format_str: 格式化字符串
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:return: 可读的字节字符串,如 '1.5MB'
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"""
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symbols = ('B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB')
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prefix = {s: 1 << (i + 1) * 10 for i, s in enumerate(symbols[1:])}
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for symbol in reversed(symbols[1:]):
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if n >= prefix[symbol]:
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value = float(n) / prefix[symbol]
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return format_str % locals()
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return format_str % dict(symbol=symbols[0], value=n)
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def bytes2file_response(bytes_info: bytes) -> Generator[bytes, Any, None]:
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"""生成文件响应"""
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yield bytes_info
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def get_filepath_from_url(url: str) -> Path:
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"""
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工具方法:根据请求参数获取文件路径
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:param url: 请求参数中的url参数
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:return: 文件路径
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"""
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file_info = url.split('?')[1].split('&')
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task_id = file_info[0].split('=')[1]
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file_name = file_info[1].split('=')[1]
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task_path = file_info[2].split('=')[1]
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filepath = setting.settings.STATIC_ROOT.joinpath(task_path, task_id, file_name)
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return filepath
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